Titlebook: GIS-based Analysis of Coastal Lidar Time-Series; Eric Hardin,Helena Mitasova,Margery Overton Book 2014 The Author(s) 2014 Beach Erosion.Co

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Processing Coastal Lidar Time Series,n this analysis and a given application we select appropriate resolution and interpolation method for computation of raster-based digital elevation model (DEM). We explain computation of DEMs by per raster-cell averaging, two types of splines. Assessment of systematic error using geodetic benchmarks

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Raster-Based Analysis,een two surveys is DEM differencing, performed by map algebra within GIS (. in GRASS). For a larger number of elevation data snapshots, per cell statistics can be applied to the raster DEMs to derive summary maps, which reveal the spatial patterns of stable and dynamic sites, the time periods when s

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Visualizing Coastal Change,nd explore. This particularly applies to coastal geomorphology, where 3D spatial and temporal patterns and relationships are critical for capturing landscape features and their dynamics. In this chapter we present GIS-based techniques for visualizing dynamic coastal landscapes using 2D maps, 3D pers

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2191-5768 or professors and researchers in GIS and earth sciences. Advanced-level students interested in computer applications and engineering will also find this brief a valuable resource.978-1-4939-1834-8978-1-4939-1835-5Series ISSN 2191-5768 Series E-ISSN 2191-5776

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Book 2014sualization using public LiDAR data time-series. GIS-based Analysis of Coastal Lidar Time-Series is ideal for professors and researchers in GIS and earth sciences. Advanced-level students interested in computer applications and engineering will also find this brief a valuable resource.

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Introduction,sing Geographic Information Systems (GIS). In this chapter we discuss mapping of coastal change, on-line data resources, and the basics of installation and working with open source GRASS GIS used in this book.

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Processing Coastal Lidar Time Series,del (DEM). We explain computation of DEMs by per raster-cell averaging, two types of splines. Assessment of systematic error using geodetic benchmarks or other ground truth point data and correction of any shifted DEMs is the final step in creating a consistent DEM time series.

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